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Description

Does working on a cutting edge and fast growing serverless database excite you? We are looking for self-driven, passionate, and experienced engineering leader to build next generation predictive heat management and placement solutions that will make Aurora Serverless highly available, scalable, reliable and fast.

This is a unique and rare opportunity to make an impact for a fast-growing AWS service and shape the future of the cutting-edge database technology, and of the cloud in general. In this role, you will have the opportunity to apply your deep understanding of distributed systems architecture and design principles and will be required to identify and analyze complex problems to develop elegant and efficient solutions to optimize performance and scalability.

We are looking to innovate on behalf of our customers and bring them the best experience possible while delivering high availability, performance and scalability. This is a huge impact role to redefine how we predict customers (Database developers) ever changing needs and create learning mechanism that would feed into our heat and placement algorithms. You would help lead and solve for lowering costs for customer and help bring in great stability and durability of our services.

Amazon Aurora:

Imagine a database where you don't have to worry about the configuration or capacity of your database. Where you don't have to worry about what kind of load that your product or service will put on it and you only pay for what you use. Want to learn more? Then read on.

Amazon Aurora Serverless an on-demand, auto-scaling configuration for Amazon Aurora where the database will automatically start up, shut down, and scale capacity up or down based on your application's needs, with no down time. It enables you to run your database in the cloud without managing any database instances. With Amazon Aurora Serverless we aim to do nothing less than revolutionize the database business. Aurora Serverless builds on top of foundational AWS services such as EC2, S3 and DynamoDB and we are breaking new ground in the way that customers experience databases.

To learn more about Amazon Aurora Serverless visit: https://aws.amazon.com/rds/aurora/serverless/

Key job responsibilities

Design and build next generation predictive ML based solutions for Aurora Serverless. Mentor junior engineers and collaborate with engineers from other teams

About the team

Aurora is one of the fastest growing teams within AWS. Aurora Serverless Heat and placement team which is part of the control plane team in Aurora orchestrates how heat is managed. You would have an opportunity to work with one of the smartest minds in the industry and help innovate on behalf of the customers.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 5+ years of non-internship professional software development experience

• 5+ years of programming with at least one software programming language experience

• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience as a mentor, tech lead or leading an engineering team

• Bachelor's degree in computer science or equivalent

• 2+ years experience with building scalable distributed systems using AWS or other cloud technologies

• 2+ years of building large-scale machine-learning services

Preferred Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• 3+ years experience with building scalable distributed systems using AWS or other cloud technologies (compute orchestrators, containers, hypervisors for database storage systems)

• Strong in computer science fundamentals like data structures, algorithm design and complexity analysis

• Experience building highly available, low latency and highly scalable services

• Collaborate with engineers and leaders from other teams.

• Experience with PostgreSQL or other RDBMS.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.